US20080024137A1 - Pulse-discharge battery testing methods and apparatus - Google Patents
Pulse-discharge battery testing methods and apparatus Download PDFInfo
- Publication number
- US20080024137A1 US20080024137A1 US11/459,912 US45991206A US2008024137A1 US 20080024137 A1 US20080024137 A1 US 20080024137A1 US 45991206 A US45991206 A US 45991206A US 2008024137 A1 US2008024137 A1 US 2008024137A1
- Authority
- US
- United States
- Prior art keywords
- battery
- discharge pulse
- voltage
- parameter
- condition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012360 testing method Methods 0.000 title claims description 49
- 238000000034 method Methods 0.000 claims abstract description 41
- 230000004044 response Effects 0.000 claims abstract description 10
- 238000005259 measurement Methods 0.000 claims description 15
- 230000009467 reduction Effects 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 4
- 238000011156 evaluation Methods 0.000 abstract description 10
- 238000013528 artificial neural network Methods 0.000 abstract description 3
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 238000011084 recovery Methods 0.000 abstract 1
- 230000007246 mechanism Effects 0.000 description 9
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 5
- 229910052744 lithium Inorganic materials 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- PWHULOQIROXLJO-UHFFFAOYSA-N Manganese Chemical compound [Mn] PWHULOQIROXLJO-UHFFFAOYSA-N 0.000 description 2
- 239000002253 acid Substances 0.000 description 2
- 238000007792 addition Methods 0.000 description 2
- 230000003750 conditioning effect Effects 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 229910052748 manganese Inorganic materials 0.000 description 2
- 239000011572 manganese Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/386—Arrangements for measuring battery or accumulator variables using test-loads
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
- G01R31/379—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator for lead-acid batteries
Definitions
- This invention relates to methods and apparatus for evaluating the condition of electrochemical batteries.
- the methods and apparatus may be applied to testing batteries having various chemistries.
- the methods and apparatus may be applied to testing lithium batteries or lead-acid batteries.
- Electrochemical batteries have a very wide range of applications. Such batteries have limited life spans. Over time and with use the condition of a battery is degraded. Eventually the battery is unable to meet requirements. For example, the battery may become unable to hold a charge adequately or at all or it may become unable to supply a desired current.
- the condition of any particular battery (sometimes called the “state of health” or “SoH”) is a function of the design of the battery, variables relating to the manufacture of the battery, the history of the temperature and other environmental conditions in which the battery has been stored, the number of charge-discharge cycles that the battery has experienced, and the nature of the charge-discharge cycles that the battery has experienced. Because the condition of a battery depends upon so many factors, it is not generally possible to predict reliably when a particular battery will cease to meet applicable specifications.
- Another strategy is to monitor the condition of batteries by testing the batteries. Appropriate tests may be able to detect that the condition of a particular battery is becoming worse so that the battery can be replaced before it fails. Some such tests are undesirably time consuming and may require that the battery be in a particular state of charge for the tests to be conducted.
- One aspect of the invention provides a method for evaluating the condition of a battery.
- the method comprises: applying a discharge pulse to the battery; measuring a response of the voltage of the battery to the discharge pulse; obtaining at least one parameter relating to a change in the battery voltage resulting from the application of the discharge pulse; and, computing a measure of a condition of the battery based at least in part on the at least one parameter.
- the discharge pulse has a duration in the range of 1 to 6 seconds in some embodiments.
- Another aspect of the invention provides a method for evaluating the condition of a battery.
- the method comprises: applying a discharge pulse to the battery; taking first measurements of the voltage of the battery at selected times during the discharge pulse; from the first measurements obtaining a first parameter relating to a reduction of the battery voltage after an onset of the discharge pulse; and, computing a measure of a condition of the battery based at least in part on the first parameter.
- a further aspect of the invention provides apparatus for testing batteries.
- the apparatus comprises: first and second connectors for connecting to terminals of a battery under test; a volt meter connected to measure a voltage between the first and second connectors; a current sink switchably connectable between the first and second connectors; a controller configured to cause the current sink to be connected between the first and second connectors for an interval to cause a discharge pulse to be applied to the battery under test and to sample an output from the volt meter at least at a plurality of times during the interval.
- the controller may provide automated testing of batteries in a relatively short period.
- the apparatus comprises a battery charger and is configured to charge the battery during a charging period, allow the battery to rest for a rest period and then test the battery as described herein.
- FIG. 1 is a block diagram illustrating apparatus according to an embodiment of the invention.
- FIG. 2 is a plot showing voltage and current as a function of time during a test of a battery.
- FIG. 3 is a block diagram illustrating apparatus according to a more detailed embodiment of the invention.
- FIGS. 4A and 4B show alternative forms for a discharge pulse.
- This invention obtains measures of the condition of batteries by applying discharge pulses to the batteries and monitoring certain features of the responses of the batteries to the discharge pulses.
- FIG. 1 is a block diagram illustrating apparatus 10 according to the invention.
- Apparatus 10 has connectors 12 A and 12 B that connect to corresponding terminals 14 A and 14 B of a battery 15 being tested.
- Apparatus 10 comprises a load 16 that can be selectively connected between terminals 12 A and 12 B by a switch 17 .
- a voltage sensor 20 monitors a potential difference between terminals 12 A and 12 B.
- a controller 22 controls switch 17 to cause a discharge pulse to be applied to battery 15 by connecting load 16 between terminals 12 A and 12 B during an interval T 1 (see FIG. 2 ).
- a signal 24 representing the potential difference sensed by voltage sensor 20 is provided to controller 22 .
- Controller 22 monitors signal 24 and derives parameters from signal 24 that are indicative of the condition of battery 15 .
- Controller 22 derives a measure of a condition of battery 15 based upon the parameters.
- Load 16 may comprise a resistor or may comprise a transistor or other active device that can be controlled to permit a current to flow through it. Where load 16 comprises an active device then load 16 may also serve as switch 17 .
- FIG. 2 shows a current waveform 30 that includes a discharge pulse 32 having a duration T 1 as well as a voltage waveform 34 that represents a response of battery 15 to current pulse 32 .
- Voltage waveform 34 has three parts, a first part 34 A prior to the leading edge of discharge pulse 32 , a second part 34 B during discharge pulse 32 and a third part 34 C after the trailing edge of discharge pulse 32 .
- second part 34 B the battery voltage falls almost immediately as a result of the voltage dropped across the internal resistance of the battery under test. The voltage then continues to drop as a result of the effect of current pulse 32 on the battery under test.
- the battery under test is preferably rested (i.e. neither charged significantly nor discharged significantly) for a period of at least a few minutes prior to the test.
- the battery under test should have a state-of-charge of at least 40% or so (i. e. the test results may be unreliable if the battery is discharged or almost discharged when the test is performed).
- T 1 is in the range of 1 to 6 seconds, in some cases in the range of 2 to 5 seconds;
- T 1 exceeds 2 seconds
- T 1 does not exceed 6 seconds.
- T 1 is not critical. It is desirable to have T 1 fairly short so that testing can be completed faster but long enough to obtain values for the parameters to be used in evaluating the condition of the battery under test.
- Controller 22 may comprise a data processor that executes software instructions which cause the data processor to control switch 17 to cause a discharge pulse and to monitor signal 24 during appropriate periods so as to acquire the data necessary to derive the parameters. Controller 22 could also comprise hard-wired apparatus that performs the required functions.
- controller that controls the application of a discharge pulse to battery 15 also: monitor signal 24 , derive parameters from signal 24 and/or derive a measure of condition of battery 15 . These functions could be distributed among a number of separate circuits and/or data processors.
- controller encompasses a system that has multiple components that cooperate to provide control functions.
- the magnitude of current pulse 32 is sufficient that the voltage of the battery exhibits a dynamic response to the current pulse that is measurable with sufficient precision to distinguish batteries based upon their conditions.
- the magnitude of the discharge pulse is not so great as to risk any damage to the battery or to trigger protective circuitry associated with the battery. Therefore, the magnitude of discharge pulse 32 may be set based at least in part upon the type of battery being tested. In some embodiments, particularly for batteries having rated capacities of a few Ampere-hours or less, the magnitude of discharge pulse 32 in Amperes is in the range of 0.1 to 2 times a rated capacity of the battery-under test measured in Ampere hours.
- Methods according to the invention base an assessment of battery condition, at least in part, on at least one of a first parameter that is derived from the response of the battery during second part 34 B of voltage waveform 34 and a second parameter that is derived from the response of the battery during third part 34 C of voltage waveform 34 .
- the assessment of battery condition is based upon both of the first and second parameters and is optionally based additionally on other parameters.
- the first parameter is a measure of the reduction in battery voltage 34 resulting from the application of discharge pulse 32 .
- discharge pulse 32 commences some voltage will be dropped as a result of the internal resistance of the battery under test. If battery voltage could be monitored continuously with a perfect voltmeter, the voltage drop resulting from the internal resistance of the battery would manifest itself as a very rapid (essentially instantaneous) drop in measured voltage.
- the first parameter is preferably relatively insensitive to the voltage dropped by the internal resistance.
- One way to achieve this is to base the first parameter on voltage measurements taken after the battery voltage has dropped as a result of the internal resistance of the battery under test.
- the first parameter may be based upon a decrease in voltage during a period beginning a short time (e.g. a time less than about 1 second and most typically less than 1 ⁇ 2second) after the leading edge of discharge pulse 32 .
- the first measure is the value of ⁇ V as shown in FIG. 2 .
- ⁇ V is the difference between the battery voltage just after the onset of discharge pulse 32 and the equilibrium value that the battery voltage tends toward as the discharge pulse continues.
- ⁇ V can be measured by taking a first reading of voltage 34 a short time (e.g. a fraction of a second) after the leading edge of discharge pulse 32 , taking a second reading of voltage 34 after a time interval T 2 sufficient for voltage 34 to have fallen by a measurable amount in response to the current drain during the current pulse. The first and second readings may then be subtracted.
- a short time e.g. a fraction of a second
- the second parameter is a measure of the rate at which the battery voltage recovers toward its open circuit voltage (“OCV”) after the trailing edge of discharge pulse 32 .
- the second parameter is a measure of the area 40 between voltage waveform 34 and the OCV during third part 34 C of voltage waveform 34 .
- the OCV may be determined by monitoring battery voltage during first part 34 A of voltage waveform 34 .
- Area 40 may be measured by integrating the difference between the measured voltage and the OCV over a time T 3 sufficient for the battery voltage to recover substantially toward the OCV. Where multiple batteries of the same type are being tested it is preferable to integrate over the same time for all of the batteries to ensure that the test results are directly comparable.
- apparatus 10 samples the voltage of the battery under test periodically.
- the sampling rate is preferably high enough that there are a significant number of samples taken at least during part 34 C of voltage waveform 34 .
- voltage sensor 20 comprises a signal conditioning circuit 50 which may comprise, for example, one or more of an amplifier 50 A and a low-pass filter 50 B.
- An analog-to-digital converter 52 digitizes the signal at the output of signal conditioning circuit 50 at a suitable rate and passes the samples 53 to a processor 54 that executes software 56 . Within reason, more accurate parameter values may be achieved by selecting a higher sample rate.
- voltage waveform 34 is sampled at a rate in the range of about 5 Hz to a few hundred Hz. Higher sampling rates could be used but are typically not necessary or beneficial since the response of most batteries to a discharge pulse 32 is typically characterized by a time constant that is greater than about 0.1 seconds.
- Processor 54 controls switch 17 to create discharge pulse 32 and also computes the first and second parameters from samples 53 .
- OCV may be measured from one sample taken before switch 17 is closed.
- OCV is determined from two or more samples 53 taken during first part 34 A.
- the first parameter, ⁇ V may be determined by computing a difference between a first sample taken a short time after the start of second part 34 B of voltage waveform 34 and a second sample taken a time T 2 later.
- Processor 54 may compute area 40 by subtracting the sum of the N samples taken during a period T 3 from N times the OCV.
- Processor 54 may be programmed to compute various functional or mathematical equivalents of these parameters in the alternative. For example:
- Processor 54 may be programmed to compute one or more additional parameters such as:
- One or both of the first and second parameters and, optionally, one or more of the additional parameters described above (and/or other parameters), may be supplied as inputs to an evaluation mechanism such as a fuzzy inference engine, a rules-based inference engine, a neural network or the like that has been programmed or trained to produce an output indicative of a condition of the battery based upon the parameters input to the evaluation mechanism.
- an evaluation mechanism such as a fuzzy inference engine, a rules-based inference engine, a neural network or the like that has been programmed or trained to produce an output indicative of a condition of the battery based upon the parameters input to the evaluation mechanism.
- the fuzzy logic methods described in Tinnemeyer, U.S. Pat. No. 7,072,871 are but one example of a possible evaluation mechanism.
- the evaluation mechanism comprises software executed by processor 54 .
- the evaluation mechanism may be set up to test batteries of a particular type with reference to a set of representative batteries.
- the representative batteries are selected to have a range of values for the characteristic being measured (which may be “state of health”, capacity, or some other measure of battery fitness).
- the value of the characteristic for each representative battery may be ascertained by any suitable in-depth test(s).
- the evaluation mechanism comprises an inference system, such as a fuzzy logic inference engine or a neural network
- the inference system may be trained in any suitable way, including through the use of training methods and systems known in the art.
- the evaluation mechanism comprises an empirically-derived formula (which may be a function of the first and/or second parameters, for example) that provides an output value indicative of a condition of the battery-under-test. If it is desired to provide a “Pass/Fail” result or a “Pass/Fail/Test more Thoroughly” result then the output of the function may be compared to one or more empirically-determined thresholds to obtain the desired result.
- an empirically-derived formula which may be a function of the first and/or second parameters, for example
- the evaluation mechanism may be as simple as comparing one or both of the first and second parameters to a threshold. The result of the comparison may cause the evaluation mechanism to generate an indication that the battery under test is “good” or “poor”.
- the threshold may be chosen to reflect a desired level of confidence that a battery is “good” or “bad”. Suitable thresholds may be derived from the relationship between the parameter(s) and the characteristic being used as a measure of battery fitness for a reference set of batteries.
- the test described herein may be performed conditionally on the value of some other parameter.
- a battery may be considered “bad” if its internal resistance has a value that exceeds a threshold.
- the internal resistance of a battery-under-test is measured. If the value of the internal resistance indicates that the battery should be considered to have a condition of “poor” or “fail” or “bad” or the like then the method may terminate. In such cases it is not necessary to obtain or process the first and/or second parameters described above. In such cases the length of time taken for the testing can be reduced.
- the testing methods and apparatus described herein may be used to evaluate the condition of batteries having a wide range of chemistries such as lithium batteries (including lithium batteries having cathodes that incorporate manganese) and lead acid batteries.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Tests Of Electric Status Of Batteries (AREA)
Abstract
Description
- This invention relates to methods and apparatus for evaluating the condition of electrochemical batteries. The methods and apparatus may be applied to testing batteries having various chemistries. For example, the methods and apparatus may be applied to testing lithium batteries or lead-acid batteries.
- Electrochemical batteries have a very wide range of applications. Such batteries have limited life spans. Over time and with use the condition of a battery is degraded. Eventually the battery is unable to meet requirements. For example, the battery may become unable to hold a charge adequately or at all or it may become unable to supply a desired current. The condition of any particular battery (sometimes called the “state of health” or “SoH”) is a function of the design of the battery, variables relating to the manufacture of the battery, the history of the temperature and other environmental conditions in which the battery has been stored, the number of charge-discharge cycles that the battery has experienced, and the nature of the charge-discharge cycles that the battery has experienced. Because the condition of a battery depends upon so many factors, it is not generally possible to predict reliably when a particular battery will cease to meet applicable specifications.
- Where batteries power critical equipment, one can replace the batteries periodically whether or not they appear to need replacing. However, in a group of seemingly identical batteries there can be a broad spread in the time taken for the batteries to fail. This strategy is expensive because it mandates replacing most batteries when a significant portion of their useful life remains.
- Another strategy is to monitor the condition of batteries by testing the batteries. Appropriate tests may be able to detect that the condition of a particular battery is becoming worse so that the battery can be replaced before it fails. Some such tests are undesirably time consuming and may require that the battery be in a particular state of charge for the tests to be conducted.
- Existing methods for rapid testing of batteries do not work well for batteries of all chemistries. For example, using current tests it can be difficult to obtain rapid accurate measurements of the condition of lithium batteries, especially lithium batteries having cathodes that incorporate manganese.
- There is a need for methods and apparatus that can be used to evaluate the condition of electrochemical batteries. There is a particular need for such methods and apparatus that can test batteries rapidly.
- The foregoing examples of the related art and limitations related thereto are intended to be illustrative and not exclusive. Other limitations of the related art will become apparent to those of skill in the art upon a reading of the specification and a study of the drawings.
- The invention is described and illustrated in conjunction with the appended drawings, which are meant to be exemplary and illustrative, not limiting in scope.
- One aspect of the invention provides a method for evaluating the condition of a battery. The method comprises: applying a discharge pulse to the battery; measuring a response of the voltage of the battery to the discharge pulse; obtaining at least one parameter relating to a change in the battery voltage resulting from the application of the discharge pulse; and, computing a measure of a condition of the battery based at least in part on the at least one parameter. The discharge pulse has a duration in the range of 1 to 6 seconds in some embodiments.
- Another aspect of the invention provides a method for evaluating the condition of a battery. The method comprises: applying a discharge pulse to the battery; taking first measurements of the voltage of the battery at selected times during the discharge pulse; from the first measurements obtaining a first parameter relating to a reduction of the battery voltage after an onset of the discharge pulse; and, computing a measure of a condition of the battery based at least in part on the first parameter.
- A further aspect of the invention provides apparatus for testing batteries. The apparatus comprises: first and second connectors for connecting to terminals of a battery under test; a volt meter connected to measure a voltage between the first and second connectors; a current sink switchably connectable between the first and second connectors; a controller configured to cause the current sink to be connected between the first and second connectors for an interval to cause a discharge pulse to be applied to the battery under test and to sample an output from the volt meter at least at a plurality of times during the interval. The controller may provide automated testing of batteries in a relatively short period. In some embodiments, the apparatus comprises a battery charger and is configured to charge the battery during a charging period, allow the battery to rest for a rest period and then test the battery as described herein.
- Further aspects and features of embodiments of the invention are described herein and illustrated in the accompanying drawings.
- The appended drawings illustrate non-limiting example embodiments of the invention.
-
FIG. 1 is a block diagram illustrating apparatus according to an embodiment of the invention. -
FIG. 2 is a plot showing voltage and current as a function of time during a test of a battery. -
FIG. 3 is a block diagram illustrating apparatus according to a more detailed embodiment of the invention. -
FIGS. 4A and 4B show alternative forms for a discharge pulse. - Throughout the following description specific details are set forth in order to provide a more thorough understanding to persons skilled in the art. However, well known elements may not have been shown or described in detail to avoid unnecessarily obscuring the disclosure. Accordingly, the description and drawings are to be regarded in an illustrative, rather than a restrictive, sense.
- This invention obtains measures of the condition of batteries by applying discharge pulses to the batteries and monitoring certain features of the responses of the batteries to the discharge pulses.
-
FIG. 1 is a blockdiagram illustrating apparatus 10 according to the invention.Apparatus 10 hasconnectors corresponding terminals battery 15 being tested.Apparatus 10 comprises aload 16 that can be selectively connected betweenterminals switch 17. Avoltage sensor 20 monitors a potential difference betweenterminals controller 22 controls switch 17 to cause a discharge pulse to be applied tobattery 15 by connectingload 16 betweenterminals FIG. 2 ). - A
signal 24 representing the potential difference sensed byvoltage sensor 20 is provided tocontroller 22.Controller 22monitors signal 24 and derives parameters fromsignal 24 that are indicative of the condition ofbattery 15.Controller 22 derives a measure of a condition ofbattery 15 based upon the parameters. -
Load 16 may comprise a resistor or may comprise a transistor or other active device that can be controlled to permit a current to flow through it. Whereload 16 comprises an active device thenload 16 may also serve asswitch 17. -
FIG. 2 shows acurrent waveform 30 that includes adischarge pulse 32 having a duration T1 as well as avoltage waveform 34 that represents a response ofbattery 15 tocurrent pulse 32.Voltage waveform 34 has three parts, afirst part 34A prior to the leading edge ofdischarge pulse 32, asecond part 34B duringdischarge pulse 32 and athird part 34C after the trailing edge ofdischarge pulse 32. Duringsecond part 34B the battery voltage falls almost immediately as a result of the voltage dropped across the internal resistance of the battery under test. The voltage then continues to drop as a result of the effect ofcurrent pulse 32 on the battery under test. - The battery under test is preferably rested (i.e. neither charged significantly nor discharged significantly) for a period of at least a few minutes prior to the test. For best results, the battery under test should have a state-of-charge of at least 40% or so (i. e. the test results may be unreliable if the battery is discharged or almost discharged when the test is performed).
- In various different embodiments:
- T1 is in the range of 1 to 6 seconds, in some cases in the range of 2 to 5 seconds;
- T1 exceeds 2 seconds; or,
- T1 does not exceed 6 seconds.
- The exact value of T1 is not critical. It is desirable to have T1 fairly short so that testing can be completed faster but long enough to obtain values for the parameters to be used in evaluating the condition of the battery under test.
-
Controller 22 may comprise a data processor that executes software instructions which cause the data processor to controlswitch 17 to cause a discharge pulse and to monitorsignal 24 during appropriate periods so as to acquire the data necessary to derive the parameters.Controller 22 could also comprise hard-wired apparatus that performs the required functions. - It should be noted that the apparatus shown in
FIG. 1 is an example only. It is not mandatory that the same controller that controls the application of a discharge pulse tobattery 15 also: monitorsignal 24, derive parameters fromsignal 24 and/or derive a measure of condition ofbattery 15. These functions could be distributed among a number of separate circuits and/or data processors. The term controller, as used herein, encompasses a system that has multiple components that cooperate to provide control functions. - The magnitude of
current pulse 32 is sufficient that the voltage of the battery exhibits a dynamic response to the current pulse that is measurable with sufficient precision to distinguish batteries based upon their conditions. The magnitude of the discharge pulse is not so great as to risk any damage to the battery or to trigger protective circuitry associated with the battery. Therefore, the magnitude ofdischarge pulse 32 may be set based at least in part upon the type of battery being tested. In some embodiments, particularly for batteries having rated capacities of a few Ampere-hours or less, the magnitude ofdischarge pulse 32 in Amperes is in the range of 0.1 to 2 times a rated capacity of the battery-under test measured in Ampere hours. - Methods according to the invention base an assessment of battery condition, at least in part, on at least one of a first parameter that is derived from the response of the battery during
second part 34B ofvoltage waveform 34 and a second parameter that is derived from the response of the battery duringthird part 34C ofvoltage waveform 34. In preferred embodiments, the assessment of battery condition is based upon both of the first and second parameters and is optionally based additionally on other parameters. - In an example embodiment, the first parameter is a measure of the reduction in
battery voltage 34 resulting from the application ofdischarge pulse 32. As soon asdischarge pulse 32 commences some voltage will be dropped as a result of the internal resistance of the battery under test. If battery voltage could be monitored continuously with a perfect voltmeter, the voltage drop resulting from the internal resistance of the battery would manifest itself as a very rapid (essentially instantaneous) drop in measured voltage. The first parameter is preferably relatively insensitive to the voltage dropped by the internal resistance. One way to achieve this is to base the first parameter on voltage measurements taken after the battery voltage has dropped as a result of the internal resistance of the battery under test. For example, the first parameter may be based upon a decrease in voltage during a period beginning a short time (e.g. a time less than about 1 second and most typically less than ½second) after the leading edge ofdischarge pulse 32. - In some embodiments, the first measure is the value of ΔV as shown in
FIG. 2 . ΔV is the difference between the battery voltage just after the onset ofdischarge pulse 32 and the equilibrium value that the battery voltage tends toward as the discharge pulse continues. ΔV can be measured by taking a first reading of voltage 34 a short time (e.g. a fraction of a second) after the leading edge ofdischarge pulse 32, taking a second reading ofvoltage 34 after a time interval T2 sufficient forvoltage 34 to have fallen by a measurable amount in response to the current drain during the current pulse. The first and second readings may then be subtracted. As described below, there are a number of ways to obtain a first parameter that is functionally equivalent to the difference between the first and second voltage readings. - In an example embodiment, the second parameter is a measure of the rate at which the battery voltage recovers toward its open circuit voltage (“OCV”) after the trailing edge of
discharge pulse 32. In some embodiments, the second parameter is a measure of thearea 40 betweenvoltage waveform 34 and the OCV duringthird part 34C ofvoltage waveform 34. The OCV may be determined by monitoring battery voltage duringfirst part 34A ofvoltage waveform 34.Area 40 may be measured by integrating the difference between the measured voltage and the OCV over a time T3 sufficient for the battery voltage to recover substantially toward the OCV. Where multiple batteries of the same type are being tested it is preferable to integrate over the same time for all of the batteries to ensure that the test results are directly comparable. - In a particular embodiment,
apparatus 10 samples the voltage of the battery under test periodically. The sampling rate is preferably high enough that there are a significant number of samples taken at least duringpart 34C ofvoltage waveform 34. In one embodiment, as shown inFIG. 3 ,voltage sensor 20 comprises asignal conditioning circuit 50 which may comprise, for example, one or more of anamplifier 50A and a low-pass filter 50B. An analog-to-digital converter 52 digitizes the signal at the output ofsignal conditioning circuit 50 at a suitable rate and passes thesamples 53 to aprocessor 54 that executessoftware 56. Within reason, more accurate parameter values may be achieved by selecting a higher sample rate. In some example embodiments of theinvention voltage waveform 34 is sampled at a rate in the range of about 5 Hz to a few hundred Hz. Higher sampling rates could be used but are typically not necessary or beneficial since the response of most batteries to adischarge pulse 32 is typically characterized by a time constant that is greater than about 0.1 seconds. -
Processor 54 controls switch 17 to createdischarge pulse 32 and also computes the first and second parameters fromsamples 53. OCV may be measured from one sample taken beforeswitch 17 is closed. Preferably, however, OCV is determined from two ormore samples 53 taken duringfirst part 34A. For example, the two or more samples may be averaged to obtain an estimate of the OCV. The first parameter, ΔV may be determined by computing a difference between a first sample taken a short time after the start ofsecond part 34B ofvoltage waveform 34 and a second sample taken a time T2 later.Processor 54 may computearea 40 by subtracting the sum of the N samples taken during a period T3 from N times the OCV. -
Processor 54 may be programmed to compute various functional or mathematical equivalents of these parameters in the alternative. For example: -
- The first parameter could be an area between
voltage curve 34 and an arbitrary value above or belowvoltage curve 34; - The first parameter could comprise a voltage difference over some shorter interval within period T2. For example the first parameter could measure the change in voltage over the first X seconds of a Y second long discharge pulse where X<Y;
- The first parameter could be based upon a voltage change over a period that includes the leading edge of
discharge pulse 32 and the internal resistance of the battery under test. The voltage drop due to the battery's internal resistance could then be subtracted or otherwise cancelled during computation of the first parameter; - The second parameter could comprise a parameter of a curve, such as an exponential or polynomial curve fit to samples taken during
third part 34C. - The second parameter could be, or be derived from, a derivative of
voltage curve 34 taken at a specified point during the period T3.
- The first parameter could be an area between
-
Processor 54 may be programmed to compute one or more additional parameters such as: -
- An amount of time taken for
voltage 34 to plateau after the trailing edge ofcurrent pulse 32. The poorer the battery, the longer this time will be. - A total difference in battery voltage from a time immediately before the trailing edge of
discharge pulse 32 to a plateau voltage reached duringpart 34C. - The instantaneous voltage of the battery immediately after the leading edge of
discharge pulse 32.
- An amount of time taken for
- One or both of the first and second parameters and, optionally, one or more of the additional parameters described above (and/or other parameters), may be supplied as inputs to an evaluation mechanism such as a fuzzy inference engine, a rules-based inference engine, a neural network or the like that has been programmed or trained to produce an output indicative of a condition of the battery based upon the parameters input to the evaluation mechanism. The fuzzy logic methods described in Tinnemeyer, U.S. Pat. No. 7,072,871 are but one example of a possible evaluation mechanism. In some embodiments, the evaluation mechanism comprises software executed by
processor 54. - In some embodiments the evaluation mechanism may be set up to test batteries of a particular type with reference to a set of representative batteries. The representative batteries are selected to have a range of values for the characteristic being measured (which may be “state of health”, capacity, or some other measure of battery fitness). The value of the characteristic for each representative battery may be ascertained by any suitable in-depth test(s). Where the evaluation mechanism comprises an inference system, such as a fuzzy logic inference engine or a neural network, the inference system may be trained in any suitable way, including through the use of training methods and systems known in the art.
- In some embodiments, the evaluation mechanism comprises an empirically-derived formula (which may be a function of the first and/or second parameters, for example) that provides an output value indicative of a condition of the battery-under-test. If it is desired to provide a “Pass/Fail” result or a “Pass/Fail/Test more Thoroughly” result then the output of the function may be compared to one or more empirically-determined thresholds to obtain the desired result.
- In some embodiments, the evaluation mechanism may be as simple as comparing one or both of the first and second parameters to a threshold. The result of the comparison may cause the evaluation mechanism to generate an indication that the battery under test is “good” or “poor”. The threshold may be chosen to reflect a desired level of confidence that a battery is “good” or “bad”. Suitable thresholds may be derived from the relationship between the parameter(s) and the characteristic being used as a measure of battery fitness for a reference set of batteries.
- In some applications, it may be desirable to sort batteries so that only batteries that are definitely “bad” are rejected while all others pass. In other applications it may be desirable to sort batteries so that only batteries that are definitely “good” pass while all others are rejected. In other applications it may be desirable to provide multiple thresholds so that a collection of batteries can be sorted into batteries that the test indicates are almost certainly “good”, batteries that the test indicates are almost certainly “bad” and batteries that ought to be subjected to more comprehensive tests to evaluate their conditions.
- In some cases, the test described herein may be performed conditionally on the value of some other parameter. For example, for some battery types, a battery may be considered “bad” if its internal resistance has a value that exceeds a threshold. In some methods according to the invention the internal resistance of a battery-under-test is measured. If the value of the internal resistance indicates that the battery should be considered to have a condition of “poor” or “fail” or “bad” or the like then the method may terminate. In such cases it is not necessary to obtain or process the first and/or second parameters described above. In such cases the length of time taken for the testing can be reduced.
- The testing methods and apparatus described herein may be used to evaluate the condition of batteries having a wide range of chemistries such as lithium batteries (including lithium batteries having cathodes that incorporate manganese) and lead acid batteries.
- It can be appreciated that some of the specific embodiments described herein can be advantageous in that they can perform a test for evaluating the condition of a battery in a relatively short period.
- While a number of exemplary aspects and embodiments have been discussed above, those of skill in the art will recognize certain modifications, permutations, additions and sub-combinations thereof. For example:
-
- It is not mandatory that the current draw from the battery be zero after application of the discharge pulse. The second parameter could be measured after a substantially stepwise reduction in current being drawn from the battery under test as illustrated in
FIG. 4A for example which shows a modifiedpulse 32A. - It is not mandatory that the current draw increase stepwise at the onset of
pulse 32. For example,FIG. 4B shows a modifiedpulse 32B in which the current is ramped toward a maximum value.
- It is not mandatory that the current draw from the battery be zero after application of the discharge pulse. The second parameter could be measured after a substantially stepwise reduction in current being drawn from the battery under test as illustrated in
- It is therefore intended that the following appended claims and claims hereafter introduced are interpreted to include all such modifications, permutations, additions and sub-combinations as are within their true spirit and scope.
Claims (23)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/459,912 US7622929B2 (en) | 2006-07-25 | 2006-07-25 | Pulse-discharge battery testing methods and apparatus |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/459,912 US7622929B2 (en) | 2006-07-25 | 2006-07-25 | Pulse-discharge battery testing methods and apparatus |
Publications (2)
Publication Number | Publication Date |
---|---|
US20080024137A1 true US20080024137A1 (en) | 2008-01-31 |
US7622929B2 US7622929B2 (en) | 2009-11-24 |
Family
ID=38985505
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/459,912 Active 2027-05-02 US7622929B2 (en) | 2006-07-25 | 2006-07-25 | Pulse-discharge battery testing methods and apparatus |
Country Status (1)
Country | Link |
---|---|
US (1) | US7622929B2 (en) |
Cited By (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090038500A1 (en) * | 2007-08-06 | 2009-02-12 | Ramesh Bhardwaj | Method and apparatus for determining the health of an energy storage system |
US20090237087A1 (en) * | 2008-03-21 | 2009-09-24 | Rochester Institute Of Tehnology | Power source health assessment methods and systems thereof |
EP2260282A2 (en) * | 2008-03-05 | 2010-12-15 | Liebert Corporation | System and method for measuring battery internal resistance |
WO2013028090A1 (en) * | 2011-08-22 | 2013-02-28 | Bryzgalov Andrei Andreevich | Method of determining the remaining life of a primary lithium-thionyl chloride battery |
US20130069661A1 (en) * | 2011-09-16 | 2013-03-21 | Research In Motion Limited | Diagnostic use of a plurality of electrical battery parameters |
WO2013079636A3 (en) * | 2011-12-02 | 2013-11-21 | Conti Temic Microelectronic Gmbh | Apparatus for detecting the state of a checkable storage battery |
US20140019789A1 (en) * | 2012-07-10 | 2014-01-16 | Apple Inc. | Monitoring a battery in an electronic device |
WO2014037133A1 (en) * | 2012-09-05 | 2014-03-13 | Robert Bosch Gmbh | Low-voltage network with a dc-dc converter and method for testing a low-voltage battery |
US8820626B2 (en) | 2011-09-16 | 2014-09-02 | Blackberry Limited | Diagnostic use of physical and electrical battery parameters |
US8860420B2 (en) | 2011-09-16 | 2014-10-14 | Blackberry Limited | Diagnostic use of physical and electrical battery parameters and storing relative condition data |
US20140368208A1 (en) * | 2012-03-21 | 2014-12-18 | Sanyo Electric Co., Ltd. | Cell state estimation device |
JP2015102443A (en) * | 2013-11-26 | 2015-06-04 | 矢崎総業株式会社 | Battery state detection device and battery state detection method |
TWI497795B (en) * | 2013-03-25 | 2015-08-21 | Univ Nat Changhua Education | Battery pulse discharge method and device |
CN105026944A (en) * | 2013-03-07 | 2015-11-04 | 古河电气工业株式会社 | Secondary battery state detecting device and secondary battery state detecting method |
GB2536919A (en) * | 2015-03-31 | 2016-10-05 | Microwatt Company Ltd | System and method for automated battery testing |
US10302709B2 (en) * | 2016-11-30 | 2019-05-28 | Cadex Electronics Inc. | Battery state-of-health determination using multi-factor normalization |
US20190252736A1 (en) * | 2016-05-31 | 2019-08-15 | Berghof Automation GmbH | Dc pulse battery testing device and method for determining a battery type |
US10705152B1 (en) | 2019-06-05 | 2020-07-07 | Xilectric, Inc. | Systems and apparatus of cyclic coulometry |
US10983167B2 (en) * | 2018-06-14 | 2021-04-20 | Huayuan Semiconductor (Shenzhen) Limited Company | Method and device for gauging an electronic apparatus |
WO2021189146A1 (en) * | 2020-03-25 | 2021-09-30 | Cadex Electronics Inc. | Apparatus and methods for testing electrochemical systems |
US11287481B2 (en) | 2019-06-05 | 2022-03-29 | Xilectric, Inc. | Methods and algorithms of cyclic coulometry |
US20220297568A1 (en) * | 2021-03-22 | 2022-09-22 | Toyota Jidosha Kabushiki Kaisha | Management system and energy management method |
WO2024036432A1 (en) * | 2022-08-15 | 2024-02-22 | 宁德时代新能源科技股份有限公司 | Direct current resistance measurement method for battery, system, device, and storage medium |
GB2623892A (en) * | 2022-10-25 | 2024-05-01 | Autocraft Solutions Group Ltd | Method and system for determining reusability of a battery |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11397215B2 (en) | 2010-05-21 | 2022-07-26 | Qnovo Inc. | Battery adaptive charging using battery physical phenomena |
US12081057B2 (en) | 2010-05-21 | 2024-09-03 | Qnovo Inc. | Method and circuitry to adaptively charge a battery/cell |
US8760005B2 (en) * | 2011-05-26 | 2014-06-24 | Cyber Power Systems Inc. | Control method of an uninterruptible power supply for extending a discharge time under a no-load condition |
DE202013011385U1 (en) | 2013-12-19 | 2014-02-24 | Wilfried Hellweg | Test and test device for accumulators used in safety-relevant areas |
US9983266B2 (en) | 2015-03-30 | 2018-05-29 | Eaton Intelligent Power Limited | Apparatus and methods for battery monitoring using discharge pulse measurements |
US11811248B2 (en) | 2016-07-21 | 2023-11-07 | C.E. Niehoff & Co. | Vehicle generator using battery charging profiles |
US11237216B1 (en) * | 2017-08-15 | 2022-02-01 | Qnovo Inc. | Method of detecting metal plating in intercalation cells |
US10770914B2 (en) | 2018-11-05 | 2020-09-08 | C.E. Niehoff & Co. | Dual control loop for charging of batteries |
US11703546B2 (en) | 2020-10-30 | 2023-07-18 | Texas Instruments Incorporated | Management of modular subsystems using variable frame length |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4745349A (en) * | 1986-10-16 | 1988-05-17 | Allied Corporation | Apparatus and method for charging and testing batteries |
US5281919A (en) * | 1988-10-14 | 1994-01-25 | Alliedsignal Inc. | Automotive battery status monitor |
US5642100A (en) * | 1993-11-17 | 1997-06-24 | Farmer; Walter E. | Method and apparatus for controlling thermal runaway in a battery backup system |
US6137292A (en) * | 1999-05-03 | 2000-10-24 | Lucent Technologies, Inc. | Self-adjusting battery diagnostic method for continuously providing best prediction of battery reserve time |
US6215312B1 (en) * | 1999-11-09 | 2001-04-10 | Steven Hoenig | Method and apparatus for analyzing an AgZn battery |
US6411911B1 (en) * | 1999-06-30 | 2002-06-25 | Tyco Electronics Logistics Ag | Battery diagnostic method utilizing a universal normalized discharge curve for predicting battery reserve time |
US6618681B2 (en) * | 2001-05-02 | 2003-09-09 | Honeywell International Inc. | Method and apparatus for predicting the available energy of a battery |
US20030206021A1 (en) * | 1997-07-25 | 2003-11-06 | Laletin William H. | Method and apparatus for measuring and analyzing electrical or electrochemical systems |
US20040157113A1 (en) * | 2002-12-31 | 2004-08-12 | Midtronics, Inc. | Apparatus and method for predicting the remaining discharge time of a battery |
-
2006
- 2006-07-25 US US11/459,912 patent/US7622929B2/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4745349A (en) * | 1986-10-16 | 1988-05-17 | Allied Corporation | Apparatus and method for charging and testing batteries |
US5281919A (en) * | 1988-10-14 | 1994-01-25 | Alliedsignal Inc. | Automotive battery status monitor |
US5642100A (en) * | 1993-11-17 | 1997-06-24 | Farmer; Walter E. | Method and apparatus for controlling thermal runaway in a battery backup system |
US20030206021A1 (en) * | 1997-07-25 | 2003-11-06 | Laletin William H. | Method and apparatus for measuring and analyzing electrical or electrochemical systems |
US6137292A (en) * | 1999-05-03 | 2000-10-24 | Lucent Technologies, Inc. | Self-adjusting battery diagnostic method for continuously providing best prediction of battery reserve time |
US6411911B1 (en) * | 1999-06-30 | 2002-06-25 | Tyco Electronics Logistics Ag | Battery diagnostic method utilizing a universal normalized discharge curve for predicting battery reserve time |
US6215312B1 (en) * | 1999-11-09 | 2001-04-10 | Steven Hoenig | Method and apparatus for analyzing an AgZn battery |
US6618681B2 (en) * | 2001-05-02 | 2003-09-09 | Honeywell International Inc. | Method and apparatus for predicting the available energy of a battery |
US20040157113A1 (en) * | 2002-12-31 | 2004-08-12 | Midtronics, Inc. | Apparatus and method for predicting the remaining discharge time of a battery |
Cited By (37)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7772804B2 (en) * | 2007-08-06 | 2010-08-10 | General Electric Company | Method and apparatus for determining the health of an energy storage system |
US20090038500A1 (en) * | 2007-08-06 | 2009-02-12 | Ramesh Bhardwaj | Method and apparatus for determining the health of an energy storage system |
EP2260282A4 (en) * | 2008-03-05 | 2014-06-04 | Liebert Corp | SYSTEM AND METHOD FOR MEASURING THE INTERNAL RESISTANCE OF A BATTERY |
EP2260282A2 (en) * | 2008-03-05 | 2010-12-15 | Liebert Corporation | System and method for measuring battery internal resistance |
US20090237087A1 (en) * | 2008-03-21 | 2009-09-24 | Rochester Institute Of Tehnology | Power source health assessment methods and systems thereof |
US8283891B2 (en) * | 2008-03-21 | 2012-10-09 | Rochester Institute Of Technology | Power source health assessment methods and systems thereof |
WO2013028090A1 (en) * | 2011-08-22 | 2013-02-28 | Bryzgalov Andrei Andreevich | Method of determining the remaining life of a primary lithium-thionyl chloride battery |
US9581651B2 (en) | 2011-09-16 | 2017-02-28 | Blackberry Limited | Diagnostic use of physical and electrical battery parameters and storing relative condition data |
US20130069661A1 (en) * | 2011-09-16 | 2013-03-21 | Research In Motion Limited | Diagnostic use of a plurality of electrical battery parameters |
US8820626B2 (en) | 2011-09-16 | 2014-09-02 | Blackberry Limited | Diagnostic use of physical and electrical battery parameters |
US8829911B2 (en) * | 2011-09-16 | 2014-09-09 | Blackberry Limited | Diagnostic use of a plurality of electrical battery parameters |
US8860420B2 (en) | 2011-09-16 | 2014-10-14 | Blackberry Limited | Diagnostic use of physical and electrical battery parameters and storing relative condition data |
US9696385B2 (en) | 2011-12-02 | 2017-07-04 | Conti Temic Microelectronics Gmbh | Apparatus for detecting the state of a rechargeable battery to be checked |
WO2013079636A3 (en) * | 2011-12-02 | 2013-11-21 | Conti Temic Microelectronic Gmbh | Apparatus for detecting the state of a checkable storage battery |
US20140368208A1 (en) * | 2012-03-21 | 2014-12-18 | Sanyo Electric Co., Ltd. | Cell state estimation device |
US9291679B2 (en) * | 2012-03-21 | 2016-03-22 | Sanyo Electric Co., Ltd. | Cell state estimation device |
US20140019789A1 (en) * | 2012-07-10 | 2014-01-16 | Apple Inc. | Monitoring a battery in an electronic device |
CN104583792A (en) * | 2012-09-05 | 2015-04-29 | 罗伯特·博世有限公司 | Low-voltage network with a dc-dc converter and method for testing a low-voltage battery |
US20150219725A1 (en) * | 2012-09-05 | 2015-08-06 | Robert Bosch Gmbh | Low-voltage network with a dc-dc converter and method for testing a low-voltage battery |
US9983267B2 (en) * | 2012-09-05 | 2018-05-29 | Robert Bosch Gmbh | Low-voltage network with a DC-DC converter and method for testing a low-voltage battery by employing pulses feed to the low-voltage battery to sense either voltage or current response |
WO2014037133A1 (en) * | 2012-09-05 | 2014-03-13 | Robert Bosch Gmbh | Low-voltage network with a dc-dc converter and method for testing a low-voltage battery |
CN105026944A (en) * | 2013-03-07 | 2015-11-04 | 古河电气工业株式会社 | Secondary battery state detecting device and secondary battery state detecting method |
EP2952921A4 (en) * | 2013-03-07 | 2016-06-22 | Furukawa Electric Co Ltd | SECONDARY BATTERY STATE DETECTION DEVICE AND SECONDARY BATTERY STATE DETECTION METHOD |
TWI497795B (en) * | 2013-03-25 | 2015-08-21 | Univ Nat Changhua Education | Battery pulse discharge method and device |
JP2015102443A (en) * | 2013-11-26 | 2015-06-04 | 矢崎総業株式会社 | Battery state detection device and battery state detection method |
GB2536919A (en) * | 2015-03-31 | 2016-10-05 | Microwatt Company Ltd | System and method for automated battery testing |
US11043704B2 (en) * | 2016-05-31 | 2021-06-22 | Berghof Automation GmbH | DC pulse battery testing device and method for determining a battery type |
US20190252736A1 (en) * | 2016-05-31 | 2019-08-15 | Berghof Automation GmbH | Dc pulse battery testing device and method for determining a battery type |
US10302709B2 (en) * | 2016-11-30 | 2019-05-28 | Cadex Electronics Inc. | Battery state-of-health determination using multi-factor normalization |
US10983167B2 (en) * | 2018-06-14 | 2021-04-20 | Huayuan Semiconductor (Shenzhen) Limited Company | Method and device for gauging an electronic apparatus |
US10705152B1 (en) | 2019-06-05 | 2020-07-07 | Xilectric, Inc. | Systems and apparatus of cyclic coulometry |
US11287481B2 (en) | 2019-06-05 | 2022-03-29 | Xilectric, Inc. | Methods and algorithms of cyclic coulometry |
WO2021189146A1 (en) * | 2020-03-25 | 2021-09-30 | Cadex Electronics Inc. | Apparatus and methods for testing electrochemical systems |
US20220297568A1 (en) * | 2021-03-22 | 2022-09-22 | Toyota Jidosha Kabushiki Kaisha | Management system and energy management method |
WO2024036432A1 (en) * | 2022-08-15 | 2024-02-22 | 宁德时代新能源科技股份有限公司 | Direct current resistance measurement method for battery, system, device, and storage medium |
GB2623892A (en) * | 2022-10-25 | 2024-05-01 | Autocraft Solutions Group Ltd | Method and system for determining reusability of a battery |
GB2623892B (en) * | 2022-10-25 | 2024-11-20 | Autocraft Solutions Group Ltd | Method and system for determining reusability of a battery |
Also Published As
Publication number | Publication date |
---|---|
US7622929B2 (en) | 2009-11-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7622929B2 (en) | Pulse-discharge battery testing methods and apparatus | |
US6930485B2 (en) | Electronic battery tester with battery failure temperature determination | |
US6556019B2 (en) | Electronic battery tester | |
US4361809A (en) | Battery diagnostic method and apparatus | |
US6566883B1 (en) | Electronic battery tester | |
US6144185A (en) | Method and apparatus for determining the condition of a battery through the use of multiple battery tests | |
US6781382B2 (en) | Electronic battery tester | |
US7545146B2 (en) | Apparatus and method for predicting battery capacity and fitness for service from a battery dynamic parameter and a recovery voltage differential | |
US7705564B2 (en) | Method for determining state of charge of lead-acid batteries of various specific gravities | |
US9267997B2 (en) | Systems and methods to determine the condition of a battery | |
EP1835297B1 (en) | A method and device for determining characteristics of an unknown battery | |
US20090295397A1 (en) | Systems and Methods for Determining Battery Parameters Following Active Operation of the Battery | |
US20120022816A1 (en) | Method for determining a parameter of at least one accumulator of a battery | |
TWI541523B (en) | Method and apparatus of detecting the states of battery | |
WO2003034084A1 (en) | Electronic battery tester with relative test output | |
EP3258282A1 (en) | Method and device for assessing an indicator of the state of health of a cell of a lithium battery | |
EP1751567B1 (en) | Method for determining the available energy of a lithium ion battery | |
JPS5832751B2 (en) | Automotive battery diagnosis method | |
KR20240003181A (en) | Method for detecting battery defective cell | |
CN119881702A (en) | A rapid evaluation method and system for cascade reorganization batteries | |
GB2182155A (en) | Testing batteries | |
WO2024241151A1 (en) | Method and apparatus for measuring the aging state of batteries of electrochemical accumulators | |
AU2002347785A1 (en) | Electronic battery tester with relative test output |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: CADEX ELECTRONICS INC., CANADA Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:CARLIN, ZOE;TINNEMEYER, JOERN;REEL/FRAME:018103/0508 Effective date: 20060809 |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
CC | Certificate of correction | ||
FPAY | Fee payment |
Year of fee payment: 4 |
|
FPAY | Fee payment |
Year of fee payment: 8 |
|
MAFP | Maintenance fee payment |
Free format text: PAYMENT OF MAINTENANCE FEE, 12TH YR, SMALL ENTITY (ORIGINAL EVENT CODE: M2553); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY Year of fee payment: 12 |